About this role

Design and architecture of machine learning operations platforms
Development and design of machine learning services that enable you to create and deploy innovative solutions based on existing machine learning models.
Working across various industries on exciting and challenging use cases, such as processing large datasets or building agent-based AI systems.

More than 4 years of experience developing machine learning–based applications or training machine learning models and deploying models to production
Experience deploying and optimizing ML workloads in virtualized/container-based environments
Good knowledge of DevOps/MLOps tools and cloud computing (e.g., Kubernetes, vSphere, hyperscalers)
Solid background in computer science, mathematics, or a related field
Proficiency in programming languages such as Python or R
Experience with common ML frameworks and libraries (e.g., TensorFlow, Keras, PyTorch)
Strong knowledge of data structures, algorithms, and computer science fundamentals
Strong problem-solving skills and the ability to work independently
Excellent communication and teamwork skills
Native-level German (C1/C2) and fluent English (at least B2)

Senior Engineer, Machine Learning

Key skills